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Fix for plotly 6.0.0

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This commit is contained in:
Alexandre
2025-03-04 10:18:32 +01:00
committed by Nachtzuster
parent ebeaf51c3b
commit 14cdc96b20
1 changed files with 12 additions and 11 deletions
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scripts/plotly_streamlit.py
+12 -11
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@@ -254,14 +254,14 @@ if daily is False:
# Plot seen species for selected date range and number of species # Plot seen species for selected date range and number of species
fig.add_trace(go.Bar(y=top_N_species.index, x=top_N_species, orientation='h', marker_color='seagreen'), row=1, col=1) fig.add_trace(go.Bar(y=top_N_species.index.tolist(), x=top_N_species.values.tolist(), orientation='h', marker_color='seagreen'), row=1, col=1)
fig.update_layout( fig.update_layout(
margin=dict(l=0, r=0, t=50, b=0), margin=dict(l=0, r=0, t=50, b=0),
yaxis={'categoryorder': 'total ascending'}) yaxis={'categoryorder': 'total ascending'})
# Set 360 degrees, 24 hours for polar plot # Set 360 degrees, 24 hours for polar plot
theta = np.linspace(0.0, 360, 24, endpoint=False) theta = np.linspace(0.0, 360, 24, endpoint=False).tolist()
specie_filt = df5 == specie specie_filt = df5 == specie
df3 = df5[specie_filt] df3 = df5[specie_filt]
@@ -271,7 +271,7 @@ if daily is False:
d = pd.DataFrame(np.zeros((24, 1))).squeeze() d = pd.DataFrame(np.zeros((24, 1))).squeeze()
detections = hourly.loc[specie] detections = hourly.loc[specie]
detections = (d + detections).fillna(0) detections = (d + detections).fillna(0)
fig.add_trace(go.Barpolar(r=detections, theta=theta, marker_color='seagreen'), row=1, col=2) fig.add_trace(go.Barpolar(r=detections.tolist(), theta=theta, marker_color='seagreen'), row=1, col=2)
fig.update_layout( fig.update_layout(
autosize=False, autosize=False,
width=1000, width=1000,
@@ -299,7 +299,7 @@ if daily is False:
) )
daily = pd.crosstab(df5, df5.index.date, dropna=True, margins=True) daily = pd.crosstab(df5, df5.index.date, dropna=True, margins=True)
fig.add_trace(go.Bar(x=daily.columns[:-1], y=daily.loc[specie][:-1], marker_color='seagreen'), row=3, col=2) fig.add_trace(go.Bar(x=daily.columns[:-1].tolist(), y=daily.loc[specie][:-1].tolist(), marker_color='seagreen'),row=3, col=2)
st.plotly_chart(fig, use_container_width=True) # , config=config) st.plotly_chart(fig, use_container_width=True) # , config=config)
else: else:
@@ -310,7 +310,7 @@ if daily is False:
specs=[[{"type": "polar", "rowspan": 2}], [{"rowspan": 1}], [{"type": "xy", "rowspan": 1}]] specs=[[{"type": "polar", "rowspan": 2}], [{"rowspan": 1}], [{"type": "xy", "rowspan": 1}]]
) )
# Set 360 degrees, 24 hours for polar plot # Set 360 degrees, 24 hours for polar plot
theta = np.linspace(0.0, 360, 24, endpoint=False) theta = np.linspace(0.0, 360, 24, endpoint=False).tolist()
specie_filt = df5 == specie specie_filt = df5 == specie
df3 = df5[specie_filt] df3 = df5[specie_filt]
@@ -320,7 +320,7 @@ if daily is False:
d = pd.DataFrame(np.zeros((24, 1))).squeeze() d = pd.DataFrame(np.zeros((24, 1))).squeeze()
detections = hourly.loc[specie] detections = hourly.loc[specie]
detections = (d + detections).fillna(0) detections = (d + detections).fillna(0)
fig.add_trace(go.Barpolar(r=detections, theta=theta, marker_color='seagreen'), row=1, col=1) fig.add_trace(go.Barpolar(r=detections.tolist(), theta=theta, marker_color='seagreen'), row=1, col=1)
fig.update_layout( fig.update_layout(
autosize=False, autosize=False,
width=1000, width=1000,
@@ -348,7 +348,7 @@ if daily is False:
) )
daily = pd.crosstab(df5, df5.index.date, dropna=True, margins=True) daily = pd.crosstab(df5, df5.index.date, dropna=True, margins=True)
fig.add_trace(go.Bar(x=daily.columns[:-1], y=daily.loc[specie][:-1], marker_color='seagreen'), row=3, col=1) fig.add_trace(go.Bar(x=daily.columns[:-1].tolist(), y=daily.loc[specie][:-1].tolist(), marker_color='seagreen'), row=3, col=1)
st.plotly_chart(fig, use_container_width=True) # , config=config) st.plotly_chart(fig, use_container_width=True) # , config=config)
df_counts = int(hourly[hourly.index == specie]['All'].iloc[0]) df_counts = int(hourly[hourly.index == specie]['All'].iloc[0])
st.subheader('Total Detect:' + str('{:,}'.format(df_counts)) st.subheader('Total Detect:' + str('{:,}'.format(df_counts))
@@ -378,7 +378,7 @@ if daily is False:
index=0) index=0)
df_counts = int(hourly[hourly.index == specie]['All']) df_counts = int(hourly[hourly.index == specie]['All'])
fig = st.container()
fig = make_subplots(rows=1, cols=1) fig = make_subplots(rows=1, cols=1)
df4 = df2['Com_Name'][df2['Com_Name'] == specie].resample('15min').count() df4 = df2['Com_Name'][df2['Com_Name'] == specie].resample('15min').count()
@@ -397,7 +397,7 @@ if daily is False:
heatmap = go.Heatmap( heatmap = go.Heatmap(
x=fig_x, x=fig_x,
y=day_hour_freq.columns, y=day_hour_freq.columns.tolist(),
z=fig_z, # heat.values, z=fig_z, # heat.values,
showscale=False, showscale=False,
texttemplate="%{text}", autocolorscale=False, colorscale=selected_pal texttemplate="%{text}", autocolorscale=False, colorscale=selected_pal
@@ -438,7 +438,7 @@ else:
plt_topN_today = (df6['Com_Name'].value_counts()[:readings]) plt_topN_today = (df6['Com_Name'].value_counts()[:readings])
freq_order = pd.value_counts(df6['Com_Name']).iloc[:readings].index freq_order = pd.value_counts(df6['Com_Name']).iloc[:readings].index
fig.add_trace(go.Bar(y=plt_topN_today.index, x=plt_topN_today, marker_color='seagreen', orientation='h'), row=1, fig.add_trace(go.Bar(y=plt_topN_today.index.tolist(), x=plt_topN_today.values.tolist(), marker_color='seagreen', orientation='h'), row=1,
col=1) col=1)
df6['Hour of Day'] = [r.hour for r in df6.index.time] df6['Hour of Day'] = [r.hour for r in df6.index.time]
@@ -447,6 +447,7 @@ else:
heat.index = pd.CategoricalIndex(heat.index, categories=freq_order) heat.index = pd.CategoricalIndex(heat.index, categories=freq_order)
heat.sort_index(level=0, inplace=True) heat.sort_index(level=0, inplace=True)
heat.index = heat.index.astype(str)
heat_plot_values = ma.log(heat.values).filled(0) heat_plot_values = ma.log(heat.values).filled(0)
hours_in_day = pd.Series(data=range(0, 24)) hours_in_day = pd.Series(data=range(0, 24))
@@ -457,7 +458,7 @@ else:
labels = heat.values.astype(int).astype('str') labels = heat.values.astype(int).astype('str')
labels[labels == '0'] = "" labels[labels == '0'] = ""
fig.add_trace(go.Heatmap(x=heat.columns, y=heat.index, z=heat_values_normalized, # heat.values, fig.add_trace(go.Heatmap(x=heat.columns.tolist(), y=heat.index.tolist(), z=heat_values_normalized, # heat.values,
showscale=False, showscale=False,
text=labels, texttemplate="%{text}", colorscale='Blugrn' text=labels, texttemplate="%{text}", colorscale='Blugrn'
), row=1, col=2) ), row=1, col=2)